Gartner has stated that poor data quality is a primary reason for 40% of all business initiatives failing to achieve their targeted benefits. Data quality and data readiness are critical factors in the successful delivery of an SAP data transformation. SNP has developed an approach to data quality driven by market leading software and services. Success depends on being able to demonstrate rapid results and analysis. Success can be achieved by setting up a small effective function to focus on a single dataset before scaling up the work based on the success of a pilot project.

• Do you have a data quality problem? Is it unclear where to begin?• Do you know what you need to begin to prepare for ahead of a transformation to S/4 HANA?• Do you know where your data is, how much you have, how old it is, how many duplicate records you have, even how to access it?

If these questions are pertinent then please join our Data Quality workshop and start the journey of setting the foundations to a successful data quality project or business as usual function.